Jing‐Gen Liu

105 total papers · 2.4k total citations
86 papers, 1.8k citations indexed

About

Jing‐Gen Liu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Jing‐Gen Liu has authored 86 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Cellular and Molecular Neuroscience, 54 papers in Molecular Biology and 16 papers in Cognitive Neuroscience. Recurrent topics in Jing‐Gen Liu's work include Receptor Mechanisms and Signaling (43 papers), Neuropeptides and Animal Physiology (43 papers) and Neuroscience and Neuropharmacology Research (25 papers). Jing‐Gen Liu is often cited by papers focused on Receptor Mechanisms and Signaling (43 papers), Neuropeptides and Animal Physiology (43 papers) and Neuroscience and Neuropharmacology Research (25 papers). Jing‐Gen Liu collaborates with scholars based in China and United States. Jing‐Gen Liu's co-authors include Zhi‐Qiang Chi, Paul L. Prather, Yujun Wang, Yimin Tao, Yuanyuan Hou, Ling He, Bin Lü, Jianfeng Sun, Xin Lin and Qing Li and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Neuron.

In The Last Decade

Jing‐Gen Liu

81 papers receiving 1.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jing‐Gen Liu 1.2k 866 426 236 130 86 1.8k
Emmanuel Darcq 1.3k 1.1× 992 1.1× 345 0.8× 300 1.3× 136 1.0× 62 2.0k
M. Trabucchi 1.2k 0.9× 767 0.9× 282 0.7× 175 0.7× 84 0.6× 75 1.7k
Eugene E. Fibuch 1.1k 0.9× 923 1.1× 312 0.7× 228 1.0× 58 0.4× 74 2.0k
Serge Gobaille 1.2k 1.0× 561 0.6× 235 0.6× 214 0.9× 130 1.0× 53 1.9k
Bernard Francès 956 0.8× 729 0.8× 477 1.1× 288 1.2× 87 0.7× 55 1.7k
K. Kuschinsky 1.5k 1.2× 962 1.1× 542 1.3× 270 1.1× 61 0.5× 115 2.3k
A. Groppetti 1.4k 1.1× 679 0.8× 435 1.0× 149 0.6× 75 0.6× 54 2.0k
Joan M. Lakoski 1.2k 0.9× 627 0.7× 263 0.6× 263 1.1× 91 0.7× 52 1.8k
Gary T. Shearman 1.1k 0.9× 612 0.7× 280 0.7× 176 0.7× 73 0.6× 50 1.4k
Yan Zhang 667 0.5× 580 0.7× 614 1.4× 216 0.9× 98 0.8× 77 1.7k

Countries citing papers authored by Jing‐Gen Liu

Since Specialization
Citations

This map shows the geographic impact of Jing‐Gen Liu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jing‐Gen Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing‐Gen Liu more than expected).

Fields of papers citing papers by Jing‐Gen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing‐Gen Liu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jing‐Gen Liu. The network helps show where Jing‐Gen Liu may publish in the future.

Co-authorship network of co-authors of Jing‐Gen Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jing‐Gen Liu. A scholar is included among the top collaborators of Jing‐Gen Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jing‐Gen Liu. Jing‐Gen Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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